Computer Engineering (English) Preview
Bachelor	TR-NQF-HE: Level 6	QF-EHEA: First Cycle	EQF-LLL: Level 6

Course Introduction and Application Information

Course Code:

EEE202

Course Name:

Signals and Systems

Semester:

Spring

Course Credits:

ECTS

Language of instruction:

English

Course Condition:

Does the Course Require Work Experience?:

Type of course:

Compulsory Courses

Course Level:

Bachelor

TR-NQF-HE:6. Master`s Degree

QF-EHEA:First Cycle

EQF-LLL:6. Master`s Degree

Mode of Delivery:

Face to face

Course Coordinator:

Prof. Dr. INDRİT MYDERRİZİ

Course Lecturer(s):

Dr. Öğr. Üy. FEVZİ AYTAÇ DURMAZ

Course Assistants:

Course Objective and Content

Course Objectives:	The goal of this course is to provide the necessary mathematical knowledge to perform basic analyses of signals and systems
Course Content:	Continuous and Discrete Time Signals and their Properties, Continuous and Discrete Time Systems and their Properties, Linear Time-Invariant Systems, Convolution in Continuous and Discrete Time Systems, Difference Equations, Fourier Analysis of Continuous and Discrete Time Signals, Fourier Series Expansion, Fourier Transform, Laplace Transform, z-Transform

Learning Outcomes

The students who have succeeded in this course;
1) Acquires the necessary mathematical knowledge to analyze signals and systems
2) Gains the ability to determine the fundamental properties of signals and systems.
3) Obtains the knowledge to perform mathematical transformations on signals.
4) Attains the ability to calculate the output of a linear system.
5) Develops the skills to perform analysis of a system.

Course Flow Plan

Week	Subject	Related Preparation
1)	Continuous and Discrete Time Signals	Course Book
2)	Continuous and Discrete Time Signals Properties	Course Book
3)	Continuous and Discrete Time Systems Properties	Course Book
4)	Continuous and Discrete Time Systems Properties	Course Book
5)	Linear Time invariant Systems, Convolution	Course Book
6)	Fourier Transform	Course Book
7)	Fourier Transform	Course Book
8)	Midterm	Course Book
9)	Laplace Transform	Course Book
10)	Laplace Transform	Course Book
11)	Discrete-time Fourier transform	Course Book
12)	Discrete-time Fourier transform	Course Book
13)	z-Transform	Course book
14)	z-Transform	Course Book

Sources

Course Notes / Textbooks:	A.V. Oppenheim, A.S. Willsky, “Signals and Systems”, Prentice Hall
References:	R.A. Gabel, R.A. Roberts, “Signals and Linear Systems”, John Wiley & Sons.

Course - Program Learning Outcome Relationship

Course Learning Outcomes	1	2	3	4
Program Outcomes
1) Adequate knowledge in mathematics, science, and computer engineering principles, both theoretical and practical, and the ability to apply this knowledge to complex engineering problems.		2	2
2) Ability to identify, formulate, and solve complex computer engineering problems using appropriate analysis and modeling techniques.	2	2
3) Ability to design and develop complex computer systems, devices, or products that meet specific requirements and operate under realistic constraints and conditions, using modern design methods.		2	2
4) Ability to develop, select and use modern techniques and tools used for the analysis and solution of complex computer engineering problems, and the ability to use information technologies effectively.	2			2
5) Ability to plan and conduct experiments, collect and analyze data, and interpret results in the study of complex computer engineering problems or research topics.
6) Ability to work effectively within and multidisciplinary teams; individual study skills.
7) Ability to communicate effectively orally and in writing; knowledge of at least one foreign language; ability to write effective reports and understand written reports, to prepare design and production reports, to make effective presentations, to give and receive clear and understandable instructions.
8) Awareness of the necessity of lifelong learning; ability to access information, to follow developments in science and technology and to renew continuously.
9) To act in accordance with ethical principles, professional and ethical responsibility; information on the standards used in engineering applications.
10) Information on business practices such as project management, risk management and change management; awareness of entrepreneurship and innovation; information about sustainable development.	2			2
11) Knowledge of the effects of computer engineering practices on health, environment and safety in the universal and social scale and the problems of the era reflected in computer engineering; awareness of the legal consequences of computer engineering solutions.

Course - Learning Outcome Relationship

No Effect	1 Lowest	2 Average	3 Highest

	Program Outcomes	Level of Contribution
1)	Adequate knowledge in mathematics, science, and computer engineering principles, both theoretical and practical, and the ability to apply this knowledge to complex engineering problems.	2
2)	Ability to identify, formulate, and solve complex computer engineering problems using appropriate analysis and modeling techniques.	2
3)	Ability to design and develop complex computer systems, devices, or products that meet specific requirements and operate under realistic constraints and conditions, using modern design methods.	2
4)	Ability to develop, select and use modern techniques and tools used for the analysis and solution of complex computer engineering problems, and the ability to use information technologies effectively.	2
5)	Ability to plan and conduct experiments, collect and analyze data, and interpret results in the study of complex computer engineering problems or research topics.
6)	Ability to work effectively within and multidisciplinary teams; individual study skills.
7)	Ability to communicate effectively orally and in writing; knowledge of at least one foreign language; ability to write effective reports and understand written reports, to prepare design and production reports, to make effective presentations, to give and receive clear and understandable instructions.
8)	Awareness of the necessity of lifelong learning; ability to access information, to follow developments in science and technology and to renew continuously.
9)	To act in accordance with ethical principles, professional and ethical responsibility; information on the standards used in engineering applications.
10)	Information on business practices such as project management, risk management and change management; awareness of entrepreneurship and innovation; information about sustainable development.	2
11)	Knowledge of the effects of computer engineering practices on health, environment and safety in the universal and social scale and the problems of the era reflected in computer engineering; awareness of the legal consequences of computer engineering solutions.

Assessment & Grading

Semester Requirements	Number of Activities	Level of Contribution
Project	1	% 30
Midterms	1	% 30
Final	1	% 40
total		% 100
PERCENTAGE OF SEMESTER WORK		% 60
PERCENTAGE OF FINAL WORK		% 40
total		% 100